SlideShare une entreprise Scribd logo
1  sur  24
Date Analysis and Interpretation
- It may be defined as the examination of
data or fact in terms of quantity, quality,
attribute, trait, pattern, trend, relationship
among others so as to answer research
questions which involve statistical
techniques and procedures.
- Tests a single variable to determine
whether the sample is similar to the
population from which it has been
drawn.
-Tests two variables on how they
differ with each other.
- Statistical tool
Correlation coefficient – use in both descriptive and
experimental design.
Z test – descriptive research only.
T-test – experimental only.
-Tests three or more independent variables at
a time in the degree of relationship with the
dependent variable.
• Also known as “MANOVA”.
• This examine several variable and their
relationships simultaneously
• In contrast to bivariate analysis which examine
relationship between 2 variables, and univariate
analyses where one variable at a time is
examined for generalization from the sample to
the population.
• MANOVA test means differences among groups
across several dependent variables
simultaneously, by using sums of squares and
cross product matrices.
• In MANOVA test the independent variable is
measured on a nominal scale and the
dependent variables on an interval or ratio
scale
Illustration 1: Experimental design
Illustration 2 ( Experimental design
Computation of sum of squares for samples (SS)
 Is a type of data analysis wherein the
results of the study is compared with the
norm or standard. the statistical tools
used in this type are the arithmetic mean
and the standard deviation.
Computation of arithmetic mean
Chapter 8 Data analysis and interpretation ( 2007 book )

Contenu connexe

Tendances

Descriptive research
Descriptive researchDescriptive research
Descriptive researchOmar Jacalne
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statisticsSarfraz Ahmad
 
Statistical analysis and interpretation
Statistical analysis and interpretationStatistical analysis and interpretation
Statistical analysis and interpretationDave Marcial
 
Quantitative research
Quantitative researchQuantitative research
Quantitative researchTooba Kanwal
 
Validity, its types, measurement & factors.
Validity, its types, measurement & factors.Validity, its types, measurement & factors.
Validity, its types, measurement & factors.Maheen Iftikhar
 
Correlation Research Design
Correlation Research DesignCorrelation Research Design
Correlation Research DesignSu Qee
 
Importance of Research
Importance of ResearchImportance of Research
Importance of ResearchDianna Cuevas
 
Role of Statistics in Scientific Research
Role of Statistics in Scientific ResearchRole of Statistics in Scientific Research
Role of Statistics in Scientific ResearchVaruna Harshana
 
Reliability and validity
Reliability and validityReliability and validity
Reliability and validityshobhitsaxena67
 
Levels of Measurement
Levels of MeasurementLevels of Measurement
Levels of MeasurementSarfraz Ahmad
 
Quantitative, qualitive and mixed research designs
Quantitative, qualitive and mixed research designsQuantitative, qualitive and mixed research designs
Quantitative, qualitive and mixed research designsAras Bozkurt
 
Experimental Method of Data Collection
Experimental Method of Data CollectionExperimental Method of Data Collection
Experimental Method of Data CollectionDhanusha Dissanayake
 
Sources of research problem
Sources of research problem Sources of research problem
Sources of research problem Bhagwat Raut
 
Qualitative research - type of data, analysis of qualitative data, software f...
Qualitative research - type of data, analysis of qualitative data, software f...Qualitative research - type of data, analysis of qualitative data, software f...
Qualitative research - type of data, analysis of qualitative data, software f...Dr.Preeti Tiwari
 
Descriptive research
Descriptive researchDescriptive research
Descriptive researchArifa T N
 

Tendances (20)

Descriptive research
Descriptive researchDescriptive research
Descriptive research
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Statistical analysis and interpretation
Statistical analysis and interpretationStatistical analysis and interpretation
Statistical analysis and interpretation
 
Quantitative research
Quantitative researchQuantitative research
Quantitative research
 
Validity, its types, measurement & factors.
Validity, its types, measurement & factors.Validity, its types, measurement & factors.
Validity, its types, measurement & factors.
 
Experimental method of Research
Experimental method of ResearchExperimental method of Research
Experimental method of Research
 
Quantitative Data analysis
Quantitative Data analysisQuantitative Data analysis
Quantitative Data analysis
 
Correlation Research Design
Correlation Research DesignCorrelation Research Design
Correlation Research Design
 
Chapter 10-DATA ANALYSIS & PRESENTATION
Chapter 10-DATA ANALYSIS & PRESENTATIONChapter 10-DATA ANALYSIS & PRESENTATION
Chapter 10-DATA ANALYSIS & PRESENTATION
 
Importance of Research
Importance of ResearchImportance of Research
Importance of Research
 
Role of Statistics in Scientific Research
Role of Statistics in Scientific ResearchRole of Statistics in Scientific Research
Role of Statistics in Scientific Research
 
Reliability and validity
Reliability and validityReliability and validity
Reliability and validity
 
Levels of Measurement
Levels of MeasurementLevels of Measurement
Levels of Measurement
 
Quantitative, qualitive and mixed research designs
Quantitative, qualitive and mixed research designsQuantitative, qualitive and mixed research designs
Quantitative, qualitive and mixed research designs
 
Data Collection in Quantitative Research
Data Collection in Quantitative ResearchData Collection in Quantitative Research
Data Collection in Quantitative Research
 
Experimental Method of Data Collection
Experimental Method of Data CollectionExperimental Method of Data Collection
Experimental Method of Data Collection
 
Data Analysis
Data AnalysisData Analysis
Data Analysis
 
Sources of research problem
Sources of research problem Sources of research problem
Sources of research problem
 
Qualitative research - type of data, analysis of qualitative data, software f...
Qualitative research - type of data, analysis of qualitative data, software f...Qualitative research - type of data, analysis of qualitative data, software f...
Qualitative research - type of data, analysis of qualitative data, software f...
 
Descriptive research
Descriptive researchDescriptive research
Descriptive research
 

En vedette

Data Interpretation
Data InterpretationData Interpretation
Data Interpretationigrant
 
Basics of data_interpretation
Basics of data_interpretationBasics of data_interpretation
Basics of data_interpretationVasista Vinuthan
 
Presentation and analysis and interpretation of data
Presentation and analysis  and interpretation of dataPresentation and analysis  and interpretation of data
Presentation and analysis and interpretation of dataLovely Ann Azanza
 
Data interpretation
Data interpretationData interpretation
Data interpretationPooja H
 
Loi baomat wordpress
Loi baomat wordpressLoi baomat wordpress
Loi baomat wordpressHuy Tiến
 
Protein engineering of toluene ortho-monooxygenase of Burkholderia cepacia G...
Protein engineering of toluene ortho-monooxygenase of  Burkholderia cepacia G...Protein engineering of toluene ortho-monooxygenase of  Burkholderia cepacia G...
Protein engineering of toluene ortho-monooxygenase of Burkholderia cepacia G...gengineer
 
Abstract
AbstractAbstract
AbstractAWKUM
 
Sila ppt 1 4-2012
Sila ppt 1 4-2012Sila ppt 1 4-2012
Sila ppt 1 4-2012jamabradley
 
Science project
Science projectScience project
Science projectluttke2
 
Clil lesson plan about enzymes (e lab for clil) Giuseppe Venturi Pacinotti Ta...
Clil lesson plan about enzymes (e lab for clil) Giuseppe Venturi Pacinotti Ta...Clil lesson plan about enzymes (e lab for clil) Giuseppe Venturi Pacinotti Ta...
Clil lesson plan about enzymes (e lab for clil) Giuseppe Venturi Pacinotti Ta...Giuseppe Venturi
 
metode-pengujian-whitebox
metode-pengujian-whiteboxmetode-pengujian-whitebox
metode-pengujian-whiteboxIwan Kurniarasa
 

En vedette (20)

Data Interpretation
Data InterpretationData Interpretation
Data Interpretation
 
Basics of data_interpretation
Basics of data_interpretationBasics of data_interpretation
Basics of data_interpretation
 
Presentation and analysis and interpretation of data
Presentation and analysis  and interpretation of dataPresentation and analysis  and interpretation of data
Presentation and analysis and interpretation of data
 
Data interpretation
Data interpretationData interpretation
Data interpretation
 
Ppt On Data Interpretation For Cat
Ppt On Data Interpretation For CatPpt On Data Interpretation For Cat
Ppt On Data Interpretation For Cat
 
Data Interpretation
Data Interpretation Data Interpretation
Data Interpretation
 
Data interpretation
Data interpretationData interpretation
Data interpretation
 
123
123123
123
 
Loi baomat wordpress
Loi baomat wordpressLoi baomat wordpress
Loi baomat wordpress
 
Gdzie znaleźć inspirację
Gdzie znaleźć inspiracjęGdzie znaleźć inspirację
Gdzie znaleźć inspirację
 
Got Traffic?
Got Traffic?Got Traffic?
Got Traffic?
 
Warum istdjangosocool
Warum istdjangosocoolWarum istdjangosocool
Warum istdjangosocool
 
Protein engineering of toluene ortho-monooxygenase of Burkholderia cepacia G...
Protein engineering of toluene ortho-monooxygenase of  Burkholderia cepacia G...Protein engineering of toluene ortho-monooxygenase of  Burkholderia cepacia G...
Protein engineering of toluene ortho-monooxygenase of Burkholderia cepacia G...
 
Keamanan jaringan
Keamanan jaringanKeamanan jaringan
Keamanan jaringan
 
Abstract
AbstractAbstract
Abstract
 
Sila ppt 1 4-2012
Sila ppt 1 4-2012Sila ppt 1 4-2012
Sila ppt 1 4-2012
 
Science project
Science projectScience project
Science project
 
Clil lesson plan about enzymes (e lab for clil) Giuseppe Venturi Pacinotti Ta...
Clil lesson plan about enzymes (e lab for clil) Giuseppe Venturi Pacinotti Ta...Clil lesson plan about enzymes (e lab for clil) Giuseppe Venturi Pacinotti Ta...
Clil lesson plan about enzymes (e lab for clil) Giuseppe Venturi Pacinotti Ta...
 
metode-pengujian-whitebox
metode-pengujian-whiteboxmetode-pengujian-whitebox
metode-pengujian-whitebox
 
01 academic report writing iec 2011
01 academic report writing iec 201101 academic report writing iec 2011
01 academic report writing iec 2011
 

Similaire à Chapter 8 Data analysis and interpretation ( 2007 book )

Biostatistics and Research Methodology Semester 8
Biostatistics and Research Methodology Semester 8Biostatistics and Research Methodology Semester 8
Biostatistics and Research Methodology Semester 8ParulSharma130721
 
Application of Univariate, Bivariate and Multivariate Variables in Business R...
Application of Univariate, Bivariate and Multivariate Variables in Business R...Application of Univariate, Bivariate and Multivariate Variables in Business R...
Application of Univariate, Bivariate and Multivariate Variables in Business R...Sundar B N
 
PR1 Module 5-Methodology-Ppt.ppt
PR1 Module 5-Methodology-Ppt.pptPR1 Module 5-Methodology-Ppt.ppt
PR1 Module 5-Methodology-Ppt.pptjeonalugon1
 
Chapter 13 Data Analysis Inferential Methods and Analysis of Time Series
Chapter 13 Data Analysis Inferential Methods and Analysis of Time SeriesChapter 13 Data Analysis Inferential Methods and Analysis of Time Series
Chapter 13 Data Analysis Inferential Methods and Analysis of Time SeriesInternational advisers
 
INFERENTIAL TECHNIQUES. Inferential Stat. pt 3
INFERENTIAL TECHNIQUES. Inferential Stat. pt 3INFERENTIAL TECHNIQUES. Inferential Stat. pt 3
INFERENTIAL TECHNIQUES. Inferential Stat. pt 3John Labrador
 
April Heyward Research Methods Class Session - 8-5-2021
April Heyward Research Methods Class Session - 8-5-2021April Heyward Research Methods Class Session - 8-5-2021
April Heyward Research Methods Class Session - 8-5-2021April Heyward
 
Parametric & non-parametric
Parametric & non-parametricParametric & non-parametric
Parametric & non-parametricSoniaBabaee
 
9_Different_Statistical_Techniques.pptx
9_Different_Statistical_Techniques.pptx9_Different_Statistical_Techniques.pptx
9_Different_Statistical_Techniques.pptxVangie Esquillo
 
Research 101: Inferential Quantitative Analysis
Research 101: Inferential Quantitative AnalysisResearch 101: Inferential Quantitative Analysis
Research 101: Inferential Quantitative AnalysisHarold Gamero
 
Anova, ancova, manova thiyagu
Anova, ancova, manova   thiyaguAnova, ancova, manova   thiyagu
Anova, ancova, manova thiyaguThiyagu K
 
Quantitative analysis using SPSS
Quantitative analysis using SPSSQuantitative analysis using SPSS
Quantitative analysis using SPSSAlaa Sadik
 
Quantitative Data Analysis: Hypothesis Testing
Quantitative Data Analysis: Hypothesis TestingQuantitative Data Analysis: Hypothesis Testing
Quantitative Data Analysis: Hypothesis TestingMurni Mohd Yusof
 
classification of various Multivariate techniques
classification of various Multivariate techniquesclassification of various Multivariate techniques
classification of various Multivariate techniquesssuser900e74
 
Quantitative research design (report)
Quantitative research design (report)Quantitative research design (report)
Quantitative research design (report)christopher abne
 

Similaire à Chapter 8 Data analysis and interpretation ( 2007 book ) (20)

Biostatistics and Research Methodology Semester 8
Biostatistics and Research Methodology Semester 8Biostatistics and Research Methodology Semester 8
Biostatistics and Research Methodology Semester 8
 
Application of Univariate, Bivariate and Multivariate Variables in Business R...
Application of Univariate, Bivariate and Multivariate Variables in Business R...Application of Univariate, Bivariate and Multivariate Variables in Business R...
Application of Univariate, Bivariate and Multivariate Variables in Business R...
 
F unit 5.pptx
F unit 5.pptxF unit 5.pptx
F unit 5.pptx
 
Regression vs ANOVA
Regression vs ANOVARegression vs ANOVA
Regression vs ANOVA
 
PR1 Module 5-Methodology-Ppt.ppt
PR1 Module 5-Methodology-Ppt.pptPR1 Module 5-Methodology-Ppt.ppt
PR1 Module 5-Methodology-Ppt.ppt
 
Workshop on Data Analysis and Result Interpretation in Social Science Researc...
Workshop on Data Analysis and Result Interpretation in Social Science Researc...Workshop on Data Analysis and Result Interpretation in Social Science Researc...
Workshop on Data Analysis and Result Interpretation in Social Science Researc...
 
Chapter 13 Data Analysis Inferential Methods and Analysis of Time Series
Chapter 13 Data Analysis Inferential Methods and Analysis of Time SeriesChapter 13 Data Analysis Inferential Methods and Analysis of Time Series
Chapter 13 Data Analysis Inferential Methods and Analysis of Time Series
 
INFERENTIAL TECHNIQUES. Inferential Stat. pt 3
INFERENTIAL TECHNIQUES. Inferential Stat. pt 3INFERENTIAL TECHNIQUES. Inferential Stat. pt 3
INFERENTIAL TECHNIQUES. Inferential Stat. pt 3
 
12
1212
12
 
April Heyward Research Methods Class Session - 8-5-2021
April Heyward Research Methods Class Session - 8-5-2021April Heyward Research Methods Class Session - 8-5-2021
April Heyward Research Methods Class Session - 8-5-2021
 
Parametric & non-parametric
Parametric & non-parametricParametric & non-parametric
Parametric & non-parametric
 
9_Different_Statistical_Techniques.pptx
9_Different_Statistical_Techniques.pptx9_Different_Statistical_Techniques.pptx
9_Different_Statistical_Techniques.pptx
 
Research 101: Inferential Quantitative Analysis
Research 101: Inferential Quantitative AnalysisResearch 101: Inferential Quantitative Analysis
Research 101: Inferential Quantitative Analysis
 
Anova, ancova, manova thiyagu
Anova, ancova, manova   thiyaguAnova, ancova, manova   thiyagu
Anova, ancova, manova thiyagu
 
Quantitative analysis using SPSS
Quantitative analysis using SPSSQuantitative analysis using SPSS
Quantitative analysis using SPSS
 
STATISTICAL TOOLS IN RESEARCH
STATISTICAL TOOLS IN RESEARCHSTATISTICAL TOOLS IN RESEARCH
STATISTICAL TOOLS IN RESEARCH
 
QM Unit II.pptx
QM Unit II.pptxQM Unit II.pptx
QM Unit II.pptx
 
Quantitative Data Analysis: Hypothesis Testing
Quantitative Data Analysis: Hypothesis TestingQuantitative Data Analysis: Hypothesis Testing
Quantitative Data Analysis: Hypothesis Testing
 
classification of various Multivariate techniques
classification of various Multivariate techniquesclassification of various Multivariate techniques
classification of various Multivariate techniques
 
Quantitative research design (report)
Quantitative research design (report)Quantitative research design (report)
Quantitative research design (report)
 

Dernier

Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfJemuel Francisco
 
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxCulture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxPoojaSen20
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 

Dernier (20)

YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
 
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxCulture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 

Chapter 8 Data analysis and interpretation ( 2007 book )

  • 1. Date Analysis and Interpretation
  • 2. - It may be defined as the examination of data or fact in terms of quantity, quality, attribute, trait, pattern, trend, relationship among others so as to answer research questions which involve statistical techniques and procedures.
  • 3. - Tests a single variable to determine whether the sample is similar to the population from which it has been drawn.
  • 4.
  • 5.
  • 6.
  • 7. -Tests two variables on how they differ with each other. - Statistical tool Correlation coefficient – use in both descriptive and experimental design. Z test – descriptive research only. T-test – experimental only.
  • 8.
  • 9. -Tests three or more independent variables at a time in the degree of relationship with the dependent variable.
  • 10. • Also known as “MANOVA”. • This examine several variable and their relationships simultaneously • In contrast to bivariate analysis which examine relationship between 2 variables, and univariate analyses where one variable at a time is examined for generalization from the sample to the population.
  • 11. • MANOVA test means differences among groups across several dependent variables simultaneously, by using sums of squares and cross product matrices. • In MANOVA test the independent variable is measured on a nominal scale and the dependent variables on an interval or ratio scale
  • 13.
  • 14. Illustration 2 ( Experimental design
  • 15.
  • 16. Computation of sum of squares for samples (SS)
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.  Is a type of data analysis wherein the results of the study is compared with the norm or standard. the statistical tools used in this type are the arithmetic mean and the standard deviation.
  • 22.